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pro vyhledávání: '"Local planning"'
This paper proposes a method to combine reinforcement learning (RL) and imitation learning (IL) using a dynamic, performance-based modulation over learning signals. The proposed method combines RL and behavioral cloning (IL), or corrective feedback i
Externí odkaz:
http://arxiv.org/abs/2405.09760
The constrained Markov decision process (CMDP) framework emerges as an important reinforcement learning approach for imposing safety or other critical objectives while maximizing cumulative reward. However, the current understanding of how to learn e
Externí odkaz:
http://arxiv.org/abs/2406.18529
We prove the convergence of a viscous approximation to an one dimensional local mean field type planning problem with singular initial and terminal measures. Then we use this result to give a rigorous proof to a Freidlin-Ventchel-type Large Deviation
Externí odkaz:
http://arxiv.org/abs/2401.02024
Publikováno v:
2023 IEEE RA-L
Local planning for a differential wheeled robot is designed to generate kinodynamic feasible actions that guide the robot to a goal position along the navigation path while avoiding obstacles. Reactive, predictive, and learning-based methods are wide
Externí odkaz:
http://arxiv.org/abs/2310.02648
Akademický článek
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